2017/18 Taught Postgraduate Module Catalogue

MECH5565M Medical Engineering Experimental Design and Analysis

15 creditsClass Size: 40

Module manager: Dr Alison Jones
Email: A.C.Jones@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2017/18

Pre-requisite qualifications

Either an undergraduate degree in a physical, biological science or one of the cognate disciplines (min 2.2) or a medical degree or allied subject with a background in orthopaedics.

Module replaces

MECH 5550M Research Methods

This module is not approved as an Elective

Objectives

On completion of this module, students should be able to:

- Recognise key issues when designing experiments and collecting data concerning objectivity, reliability and repeatability;
- Undertake suitable and appropriate statistical data analysis of research data;
- Show awareness of a range of data visualisation techniques and demonstrate the ability to present data in a meaningful and succinct manner;
- Demonstrate an awareness of key computational methodologies particularly in the area of modelling;
- Demonstrate an awareness of key biological methodologies, particularly in the areas of biocompatibility, cell culture and histology.

Learning outcomes
On completion of this module students will:
- Understand how to plan an experiment to answer a specific question;
- Develop an understanding of research data analysis and statistical anlaysis;
- Understand the role of computer modelling in medical engineering and tissue engineering research;
- Understand the role of imaging in medical engineering and tissue engineering research;
- Understand the need for standards and standard operating procedures in a variety of multidisciplinary areas

Skills outcomes
- Plan a medical engineering or tissue engineering experiment with consideration of standards, protocols, ethics and data security;
- Appreciate the advantages and disadvantages of various mechanical, computational and biological techniques which could be employed;
- Process and statistically analyse acquired research data;
- Present complex raw and processed data in a variety of formats.

Syllabus

This module will acquaint students with basic generic skills required for experimental and computational research in terms of test design.

The module will cover:
- Experimental design;
- Hypothesis-led research;
- Repeatability and sample size determination;
- Data presentation and interpretation;
- ISO standards, standard operating protocols and validated methods
- Data management;
- Mechanical laboratory techniques(overview)
- Theoretical / computational techniques (overview)
- Imaging techniques (overview)
- Biologial techniques (overview)

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	28	1.00	28.00
Private study hours			122.00
Total Contact hours			28.00
Total hours (100hr per 10 credits)			150.00

Private study

- Reading and completing work units: 80 hours
- Preparation and completion of summative assignments 42 hours
This distance module is taught using a series of student centred work units and interactive electronic material.

Opportunities for Formative Feedback

- Email between student and module leader
- Web-based formative MCQ and SAQ

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Report	Report and Presentation - Study Design	40.00
Report	Method Evaluation	30.00
Oral Presentation	Data Analysis	30.00
Total percentage (Assessment Coursework)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

There is no reading list for this module

Last updated: 16/10/2017

Disclaimer

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